I am an AI and software engineer who works at the intersection of business needs, data, and technology to build practical solutions. My background spans software engineering, analytics, applied research, and consulting, giving me a problem-solving approach that is both technically grounded and business-aware.
I am especially interested in building intelligent and data-driven systems that turn complex requirements into useful, real-world outcomes through a combination of engineering, analysis, and clear communication.
- ML and Recommender Systems
- LLM and RAG Applications
- Software Engineering
- Applied Analytics and Research
Master of Information Systems Mgmt. (MISM)
Carnegie Mellon University
B.Tech. in Computer Science and Engineering
Vellore Institute of Technology
I enjoy building software and AI systems that move beyond prototypes into useful, decision-supporting tools. That includes recommender systems, retrieval-based applications, analytics workflows, dashboards, and product-minded backend systems.
My experience spans product engineering, applied research, and consulting, so I am comfortable translating ambiguous business questions into APIs, experiments, models, visualizations, and user-facing workflows that teams can actually use.
Outside of work, I enjoy movies, cricket, pickleball, photography and exploring how technology, product thinking, and data come together in real-world systems.
A selection of portfolio work spanning applied AI, software engineering, analytics, and distributed systems.
